摘要
文章设计了用于文献不同特征交叉共现关系的分析算法,并将这种方法应用于关键词与引文的交叉共现关系研究。实验以计量研究为实证领域,通过微观的交叉共现对、宏观的可视共现网络这两个层次,对关键词与引文的交叉共现结果进行分析与解释,发现关键词与引文的交叉共现分析可用于发现领域的研究方向、识别论文的研究主题、查找某一研究方向的经典文献等。
This paper designs an algorithm to analyze the different characteristics cross co-occurrence relationships of literatures,and applies this method in the study of cross co-occurrence relationships between Keywords and citations.The experiment selects bibliometrics for case study.From the microscopic cross co-occurrence pairs and the macroscopic visual co-occurrence network,the paper analyzes and interprets the cross co-occurrence results of keywords and citations,and finds that the cross co-occurrence analysis of keywords and citations can be used to detect the research direction of the domain,identify the research topics of papers and search classical literatures for certain research direction.
出处
《情报理论与实践》
CSSCI
北大核心
2012年第2期82-86,共5页
Information Studies:Theory & Application
基金
国家自然科学基金项目"科技创新演化分析理论与方法研究"的成果
项目编号:70873123
关键词
学术论文
共现分析
关键词
引文共现
实证研究
research paper
co-occurrence analysis
keywords
citation co-occurrence
empirical study